Data Classification

 Qualitative Data: consists of attributes, labels, or nonnumerical entries.  Examples: red, Mr. Smith, Dogs  Quantitative Data: consists of numerical measurements or counts.  Examples: 5.5 inches, 10, $23,290 DATA classification

 Telephone number  Qualitative  Length of a song  Quantitative  Responses in an opinion poll  Qualitative Qualitative VS Quantitative

 An inherent zero represents the position on the number line.  Not an inherent zero implies that there are none. Inherent zero

 Nominal  Are Qualitative only  Can be categorized by names, labels, or qualities  Can’t do mathematical calculations  Example: Colors, Music  Ordinal  Are Qualitative and Quantitative  Can be put in order or ranked, but difference between them are meaningless.  Examples: Top 5 teachers, movies 4 levels of Measurement

 Interval  Can be ordered and you can calculate meaningful differences.  Zero is not an inherent zero.  Examples: 1999, 2001, 2004, 2008, 2009, 2010 Temperature  Ratio  Is similar to interval but 0 is an inherent zero.  Find ratios of values  Can’t go below zero.  Examples: Red Sox: 128 homeruns, Pirates: 78 homeruns Precipitation 4 levels of Measurement

 Body temperature in Fahrenheit of a swimmer  interval  Collection of phone numbers  nominal  Final standings for football Northeaster Conference  ordinal  Heart rate (beats per minute) of an athlete.  Ratio Examples

Chart Homework: pg 15: Even